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Identification of motor imagery parameters from EEG using SVM
Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Wang ZD(王志东); Li HY(李洪谊)
作者部门机器人学研究室
会议名称International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
会议日期August 27-28, 2013
会议地点Hongkong
会议录名称Proceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
出版者CRC Press
出版地Boca Raton, FL
2013
页码319–322
收录类别EI ; CPCI(ISTP)
EI收录号20142117733002
WOS记录号WOS:000340611200073
产权排序1
ISBN号978-1-138-00079-7
摘要Brain Computer Interface (BCI) is a technology to control devices such as prosthetics, cars, robots and other control related applications using brain signal directly. Currently, EEG-based BCIs are mostly based on classification between different limb effectors, and only few commands can be generated directly. To increase the command number and control efficiency, both clench force parameters and clench speed parameters has been studied independently. In this paper, we try to decode speed and force hand movement imagination at the same time. Alpha band power of EEG signal is extracted as feature and then classified by Support Vector Machine (SVM). The primary result shows that speed and force motor imagery of the same hand is distinguishable, which may increase direct BCI control commands in the future.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13917
专题机器人学研究室
通讯作者Xu BL(徐保磊)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Automation and Information Engineering, Kunming University of Science and Technology, Kunming, China
4.School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China
5.Department of Advanced Robotics, Chiba Institute of Technology, Chiba, Japan
推荐引用方式
GB/T 7714
Xu BL,Fu YF,Shi G,et al. Identification of motor imagery parameters from EEG using SVM[C]. Boca Raton, FL:CRC Press,2013:319–322.
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